Abstract:
Techniques associated with intelligent device connection for wireless media ecosystem are described, including receiving, by a media device, a first control signal from another media device implementing a connection awareness device, the first control signal configured to cause the media device to access data associated with playing a media content being played by the other media device, obtaining marker data from the other media device, the marker data representing a marker associated with the media content, retrieving content data from using the marker data, the content data configured to play the media content starting at a point indicated by the marker data, and sending a second control signal to the other media device, the second control signal configured to indicate a completion of synchronization with the other media device.
Abstract:
Mobile device speaker control may include: monitoring one or more devices wirelessly coupled with a data network, receiving one or more data packets from each of the one or more devices, filtering received data packets by evaluating a received signal strength (e.g., RSSI) of the received packets, comparing the received signal strength of each of the received packets to a threshold to determine whether the one or more devices are to perform an action, and performing the action only if one or more indicia other than the received signal strength indicate a near field proximity within the threshold or a direct physical contact between a wireless device receiving the data packets and one of the one or more devices that is wirelessly transmitting the data packets.
Abstract:
Techniques associated with intelligent connection management in a wireless device are described, including receiving, at an output device, initiation data from a mobile device, the initiation data configured to initiate an operation associated with remote data, the mobile device configured to access a data plane packet and a control plane packet associated with the remote data using a cellular network, detecting a connection path available to the output device using an intelligent connection device coupled to the output device, determining, using connection profile data, whether the connection path is operable to access the data plane packet from a remote source, determining, using the connection profile data, whether the connection path is operable to access the control plane packet from the remote source, and accessing, using the output device, at least one of the data plane packet and the control plane packet.
Abstract:
Techniques for movement languages in wearable- devices are described, including receiving input from a sensor coupled to a wearable device, processing the input to determine a pattern, the pattern associated with a movement, referencing a pattern library stored in a database to compare the pattern to a set of patterns in the pattern library, and performing an operation based on a comparison of the pattern to the set of patterns.
Abstract:
Embodiments relate generally to electrical and electronic hardware, computer software, wired and wireless network communications, and wearable computing devices in capturing and deriving physiological characteristic data. More specifically, an array of electrodes and methods are configured to determine physiological characteristics using a wearable device (or carried device) that may be subject to motion. In one embodiment, an array of electrodes is disposed substantially in a wearable housing. At least a portion of the array including electrodes configured to either drive a first signal to a target location or receive a second signal from the target location. The second signal includes data representing one or more physiological characteristics. A sensor selector is configured to identify a subset of the electrodes adjacent to the target location and to select the subset of the electrodes from which to receive a sensor signal that includes data representing one or more physiological characteristics.
Abstract:
Techniques associated with a wearable device and method to generate biometric identifier for authentication using near-field communications are described, including capturing data associated with a habitual activity, a physiological characteristic, and a motion pattern using a wearable device, generating a biometric identifier using the data, storing the biometric identifier on the wearable device, and authenticating a user using the biometric identifier.
Abstract:
Embodiments relate generally to a wearable device implementing a touch-sensitive interface in a metal pod cover and/or bioimpedance sensing to determine physiological characteristics, such as heart rate. According to an embodiment, a wearable device and method includes determining a drive current signal magnitude for a bioimpedance signal to capture data representing a physiological-related component, and selecting the drive current signal magnitude as a function of an impedance of a tissue. Further, the method can include driving the bioimpedance signal to that are configured to convey the bioimpedance signal to the tissue. Also, the method can receive the sensor signal from the tissue, adjust a gain for an amplifier, and apply the gain to data representing the physiological-related component. The method can include generating an amplified signal to include a portion of the physiological-related signal component that includes data representing a physiological characteristic.
Abstract:
Embodiments relate generally to electrical and electronic hardware, computer software, wired and wireless network communications, and wearable computing devices for facilitating health and wellness-related information, and more particularly, to an apparatus or method for using a wearable device (or carried device) having sensors to identify a wearer and/or generate a biometric identifier for security and authentication purposes (e.g., using the generated biometric identifier similar to a passcode). In one embodiment, a method includes determining a pattern of activity based on a first activity and a second activity, comparing data representing the pattern of activity against match data associated with a habitual activity, and authenticating an identity of a user associated with a wearable device.
Abstract:
Embodiments relate generally to electrical and electronic hardware, computer software, wired and wireless network communications, and portable and wearable media devices. Media devices may include RF transceivers and proximity sensors for detecting a user, another wireless device, or both that are positioned in proximity of the media device and take one or more actions upon detecting proximity. Activity, content, data, playlist, media playback, command, control, data or file synchronization, and other functions may be handled by the media device subsequent to detecting proximity of another device and/or user in proximity of the media device. Moreover, those functions may be transferred back to the another device when the another device moves out of a proximity range of the media device. RF signatures, RF signal strength, RSSI, and proximity detection sensors may be used to detect proximity, location, and presence (e.g., of a user or other persons) relative to the media device.
Abstract:
Embodiments of the present application relate generally to electrical and electronic hardware, computer software, wired and wireless network communications, wearable, hand held, and portable computing devices for facilitating communication of information and presentation of media. An ecosystem of wireless media devices may be in wireless communication with one another and with at least one wireless user device (e.g., smartphone, tablet or pad). The wireless media devices are configured to detect proximity and/or presence of wireless user devices, objects, or users in proximity of one or more of the wireless media devices and to capture and take over content handling from the at least one wireless user device. In some examples, the wireless media devices are powered by a rechargeable power source, such as a rechargeable battery or the like. Wireless media devices may vary in size such as personal, pocketable, portable, ultra-portable, head worn, shared household, table top, etc.